AI Architect Jobs for OPT Students
AI Architect jobs on OPT require employers to support STEM OPT extension eligibility, since the role falls under CIP code 11.0401. Most positions involve designing large-scale AI systems, so expect technical interviews focused on model architecture, MLOps pipelines, and production deployment. Cap-gap protection matters if you're targeting H-1B sponsorship.
See All AI Architect JobsOverview
Showing 5 of 220+ AI Architect jobs


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?
See all 220+ AI Architect jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Architect roles.
Get Access To All Jobs
INTRODUCTION
Assisting development of AI assisted automation of court report generation from Microsoft Dynamics and AI assisted automation of summarizing audio recordings and storing the summarized content in defined fields within Microsoft Dynamics. We are seeking an AI Solutions Developer with deep experience across the Microsoft Power Platform and Azure AI ecosystem. This role focuses on designing, building, and deploying AI‑powered business applications using Power Apps, AI Builder, Power Automate, and Azure AI Foundry. The ideal candidate blends low‑code solution development with strong technical understanding of modern AI models, data integration, and enterprise architecture. This is a hands‑on role responsible for turning business problems into scalable, secure, AI‑driven applications.
ROLE AND RESPONSIBILITIES
Key Responsibilities
- Build end‑to‑end business applications using Power Apps (canvas and model‑driven) with integrated AI capabilities.
- Develop, train, and deploy AI Builder models including document processing, prediction, classification, object detection, and generative AI features.
- Design and orchestrate Azure AI Foundry solutions, including GPT‑4/4o models, embeddings, vector search, prompt flows, and evaluation pipelines.
- Integrate Azure AI models with Power Apps and Power Automate using custom connectors, RESTAPIs, and Dataverse.
- Create secure, governed, and scalable AI architectures aligned with enterprise standards.
- Implement prompt engineering best practices, including grounding data, safety controls, and iterative evaluation.
- Collaborate with business stakeholders to translate requirements into AI‑enabled workflows and applications.
- Apply responsible AI principles, including bias mitigation, data privacy, and model monitoring.
- Support ALM processes using GitHub or Azure DevOps for Power Platform solutions.
- Troubleshoot, optimize, and continuously improve AI models and application performance.
BASIC QUALIFICATIONS
- Strong experience building applications with Power Apps, Power Automate, and Dataverse.
- Hands‑on expertise with AI Builder, including model configuration, training, and deployment.
- Practical experience with Azure AI Foundry (Azure AI Studio), including:
- GPT‑4/4o models
- Embeddings and vector search
- Prompt flow
- Cognitive Services (Vision, Language, Speech, Search)
- Ability to design and consume REST APIs and integrate them into Power Platform solutions.
- Solid understanding of data preparation, feature engineering, and model evaluation.
- Familiarity with Power Platform governance, environment strategy, and DLP policies.
- Working knowledge of Azure security (managed identities, Key Vault, role‑based access).
- Experience with ALM pipelines for Power Platform (GitHub Actions or Azure DevOps).
- Scripting experience in Power Fx, JavaScript, and/or Python.
PREFERRED QUALIFICATIONS
- Power Platform Development (Power Apps, Power Automate, Dataverse) Required 3 Years
- AI Builder Model Development (document processing, prediction, classification, etc.) Required 2 Years
- Azure AI Foundry / Azure AI Studio (GPT‑4/4o, embeddings, vector search, prompt flow) Required 2 Years
- API Development and Integration (REST APIs, custom connectors) Required 2 Years
- Power Platform ALM (GitHub Actions or Azure DevOps) Required 2 Years

INTRODUCTION
Assisting development of AI assisted automation of court report generation from Microsoft Dynamics and AI assisted automation of summarizing audio recordings and storing the summarized content in defined fields within Microsoft Dynamics. We are seeking an AI Solutions Developer with deep experience across the Microsoft Power Platform and Azure AI ecosystem. This role focuses on designing, building, and deploying AI‑powered business applications using Power Apps, AI Builder, Power Automate, and Azure AI Foundry. The ideal candidate blends low‑code solution development with strong technical understanding of modern AI models, data integration, and enterprise architecture. This is a hands‑on role responsible for turning business problems into scalable, secure, AI‑driven applications.
ROLE AND RESPONSIBILITIES
Key Responsibilities
- Build end‑to‑end business applications using Power Apps (canvas and model‑driven) with integrated AI capabilities.
- Develop, train, and deploy AI Builder models including document processing, prediction, classification, object detection, and generative AI features.
- Design and orchestrate Azure AI Foundry solutions, including GPT‑4/4o models, embeddings, vector search, prompt flows, and evaluation pipelines.
- Integrate Azure AI models with Power Apps and Power Automate using custom connectors, RESTAPIs, and Dataverse.
- Create secure, governed, and scalable AI architectures aligned with enterprise standards.
- Implement prompt engineering best practices, including grounding data, safety controls, and iterative evaluation.
- Collaborate with business stakeholders to translate requirements into AI‑enabled workflows and applications.
- Apply responsible AI principles, including bias mitigation, data privacy, and model monitoring.
- Support ALM processes using GitHub or Azure DevOps for Power Platform solutions.
- Troubleshoot, optimize, and continuously improve AI models and application performance.
BASIC QUALIFICATIONS
- Strong experience building applications with Power Apps, Power Automate, and Dataverse.
- Hands‑on expertise with AI Builder, including model configuration, training, and deployment.
- Practical experience with Azure AI Foundry (Azure AI Studio), including:
- GPT‑4/4o models
- Embeddings and vector search
- Prompt flow
- Cognitive Services (Vision, Language, Speech, Search)
- Ability to design and consume REST APIs and integrate them into Power Platform solutions.
- Solid understanding of data preparation, feature engineering, and model evaluation.
- Familiarity with Power Platform governance, environment strategy, and DLP policies.
- Working knowledge of Azure security (managed identities, Key Vault, role‑based access).
- Experience with ALM pipelines for Power Platform (GitHub Actions or Azure DevOps).
- Scripting experience in Power Fx, JavaScript, and/or Python.
PREFERRED QUALIFICATIONS
- Power Platform Development (Power Apps, Power Automate, Dataverse) Required 3 Years
- AI Builder Model Development (document processing, prediction, classification, etc.) Required 2 Years
- Azure AI Foundry / Azure AI Studio (GPT‑4/4o, embeddings, vector search, prompt flow) Required 2 Years
- API Development and Integration (REST APIs, custom connectors) Required 2 Years
- Power Platform ALM (GitHub Actions or Azure DevOps) Required 2 Years
How to Get Visa Sponsorship in AI Architect
Confirm STEM OPT eligibility before applying
AI Architect roles qualify under computer science and engineering CIP codes, making you eligible for a 24-month STEM OPT extension. Verify your degree field appears on the official STEM designated degree program list before submitting applications.
Target employers with active E-Verify enrollment
STEM OPT extension requires your employer to be enrolled in E-Verify. Ask recruiters directly during early screening calls. Many large tech firms and AI-native companies already participate, but mid-size employers often need a heads-up before onboarding.
Time your job search against OPT expiration
Apply at least 90 days before your OPT end date. AI Architect hiring cycles run long due to technical rounds and committee approvals. Starting early gives you room to complete the full process without losing authorized work status mid-interview.
Frame your immigration status proactively with employers
Lead with your STEM OPT timeline and H-1B cap-gap protection in recruiter conversations. Employers unfamiliar with OPT often assume higher complexity. A brief, confident explanation of your authorized period removes hesitation before it becomes a blocker.
Prioritize roles with defined H-1B sponsorship pipelines
Ask hiring managers directly whether the company has sponsored H-1B visas in the past two years. Firms with established immigration counsel and recurring sponsorship history move significantly faster than those encountering the process for the first time.
Document your work product throughout OPT for Form I-983
STEM OPT requires a training plan submitted on Form I-983, updated with your employer. As an AI Architect, log specific projects, model deployments, and architectural decisions. Detailed documentation protects your extension status if USCIS issues a request for evidence.
AI Architect jobs are hiring across the US. Find yours.
Find AI Architect JobsSee all 220+ AI Architect jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Architect roles.
Get Access To All JobsFrequently Asked Questions
Can I work as an AI Architect on OPT without H-1B sponsorship right away?
Yes. Your OPT work authorization is independent of H-1B sponsorship. You can begin working as an AI Architect immediately after your OPT start date, provided the role relates to your degree field. The STEM OPT extension gives you up to 36 months of total authorized work time, during which employers can initiate H-1B sponsorship.
Does an AI Architect role qualify for the STEM OPT extension?
AI Architect positions typically qualify under computer science, computer engineering, or electrical engineering degree programs, all of which appear on the STEM designated degree program list. Your eligibility depends on your specific degree's CIP code, not the job title alone. Confirm with your designated school official before applying for the extension on your SEVIS record.
How do I find AI Architect jobs where employers are open to OPT candidates?
Migrate Mate is built specifically for F-1 OPT students and filters for employers willing to hire candidates on work authorization. Searching there surfaces AI Architect openings from companies already familiar with STEM OPT requirements, which significantly reduces time spent screening out roles where your status is a non-starter.
What happens to my OPT status if I'm between AI Architect jobs?
OPT permits up to 90 days of unemployment during the standard period and 150 days total if you receive a STEM extension. Days without a formal employment relationship count toward that limit. If an offer falls through or a contract ends, begin your next search immediately and notify your DSO to keep your SEVIS record current.
Do AI Architect contractors or consulting arrangements count as valid OPT employment?
Yes, consulting and contract arrangements can qualify, but the work must directly relate to your degree field and you must have a formal engagement with the company. Self-employment structures are generally not permitted on OPT. For STEM OPT extension, the employer must be E-Verify enrolled and sign Form I-983 as your training plan supervisor.
See which AI Architect employers are hiring and sponsoring visas right now.
Search AI Architect Jobs